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The director of operations at Ursa Major Solar has noticed that when sales reps move opportunities to the closed stage, they don't always fill in the product installation date. When the date is not logged, the operations team has to reach out to the sales rep to confirm the installation date. The director of operations has requested that sales reps not be able to close an opportunity without first logging the product installation date.Which feature allows Ursa Major Solar to require a value in the product installation date, a custom date field, when the opportunity stage changes to Closed?

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Laquelle des affirmations suivantes décrit le mieux une erreur de type II?❑ C'est la probabilité de rejeter une hypothèse nulle alors qu'elle est, en réalité, vraie. ❑ C'est égal à la puissance du test. ❑ C'est équivalent à la taille du test. ❑ C'est la probabilité de ne pas rejeter une hypothèse nulle qui est, en réalité, fausse.

Supposons que le test du coefficient soit conduit à un seuil de 5%. Quelle(s) affirmation(s) est (sont) vraie(s)? (i) Le seuil de significativité est égal à la taille du test. (ii) Le seuil de significativité est égal à la puissance du test. (iii) 2,5% de la distribution totale sera comprise dans chacune des deux zones de rejet, s'il s'agit d'un test bilatéral. (iv) 5% de la distribution totale sera comprise dans chacune des deux zones de rejet, s'il s'agit d'un test bilatéral.

Considérons une augmentation de la taille du test (p.e. de 5% à 10%). Quelle pourrait en être une conséquence, toutes choses restant égales par ailleurs? ❑ La probabilité de l'erreur de type I diminue. ❑ La probabilité de l'erreur de type II diminue. ❑ Le critère de rejet devient plus strict. ❑ L'hypothèse nulle sera rejetée moins souvent.

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